Marco F. Cusumano-Towner

25 papers A* 5A 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropy-Preserving Reinforcement Learning. CoRR Aleksei Petrenko, Ben Lipkin, Kevin Chen, Erik Wijmans, Marco F. Cusumano-Towner, Raja Giryes, Philipp Krähenbühl
2025	J	`jnl`	Reinforcement Learning for Long-Horizon Interactive LLM Agents. CoRR Kevin Chen, Marco F. Cusumano-Towner, Brody Huval, Aleksei Petrenko, Jackson Hamburger, Vladlen Koltun, Philipp Krähenbühl
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2022	A	`conf`	Estimators of Entropy and Information via Inference in Probabilistic Models. AISTATS Feras Saad, Marco F. Cusumano-Towner, Vikash Mansinghka
2022	J	`jnl`	Estimators of Entropy and Information via Inference in Probabilistic Models. CoRR Feras A. Saad, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2022	J	`jnl`	Recursive Monte Carlo and Variational Inference with Auxiliary Variables. CoRR Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2022	A	`conf`	Recursive Monte Carlo and variational inference with auxiliary variables. UAI Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2021	A*	`conf`	3DP3: 3D Scene Perception via Probabilistic Programming. NeurIPS Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021	J	`jnl`	3DP3: 3D Scene Perception via Probabilistic Programming. CoRR Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2020	J	`jnl`	Trace types and denotational semantics for sound programmable inference in probabilistic languages. Proc. ACM Program. Lang. Alexander K. Lew, Marco F. Cusumano-Towner, Benjamin Sherman, Michael Carbin, Vikash K. Mansinghka
2019	J	`jnl`	Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling. CoRR Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
2019	J	`jnl`	Bayesian synthesis of probabilistic programs for automatic data modeling. Proc. ACM Program. Lang. Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
2019	A*	`conf`	Gen: a general-purpose probabilistic programming system with programmable inference. PLDI Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka
2018	—	`conf`	A design proposal for Gen: probabilistic programming with fast custom inference via code generation. MAPL@PLDI Marco F. Cusumano-Towner, Vikash K. Mansinghka
2018	A*	`conf`	Incremental inference for probabilistic programs. PLDI Marco F. Cusumano-Towner, Benjamin Bichsel, Timon Gehr, Martin T. Vechev, Vikash K. Mansinghka
2018	J	`jnl`	Using probabilistic programs as proposals. CoRR Marco F. Cusumano-Towner, Vikash K. Mansinghka
2017	—	`conf`	AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms. NIPS Marco F. Cusumano-Towner, Vikash K. Mansinghka
2017	J	`jnl`	AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms. CoRR Marco F. Cusumano-Towner, Vikash K. Mansinghka
2017	J	`jnl`	Probabilistic programs for inferring the goals of autonomous agents. CoRR Marco F. Cusumano-Towner, Alexey Radul, David Wingate, Vikash K. Mansinghka
2016	J	`jnl`	Encapsulating models and approximate inference programs in probabilistic modules. CoRR Marco F. Cusumano-Towner, Vikash K. Mansinghka
2016	J	`jnl`	Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming. CoRR Marco F. Cusumano-Towner, Vikash K. Mansinghka
2016	J	`jnl`	Quantifying the probable approximation error of probabilistic inference programs. CoRR Marco F. Cusumano-Towner, Vikash K. Mansinghka
2013	J	`jnl`	A social network of hospital acquired infection built from electronic medical record data. J. Am. Medical Informatics Assoc. Marco F. Cusumano-Towner, Daniel Y. Li, Shanshan Tuo, Gomathi Krishnan, David M. Maslove
2011	A*	`conf`	Bringing clothing into desired configurations with limited perception. ICRA Marco F. Cusumano-Towner, Arjun Singh, Stephen Miller, James F. O'Brien, Pieter Abbeel
2010	A*	`conf`	Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding. ICRA Jeremy Maitin-Shepard, Marco F. Cusumano-Towner, Jinna Lei, Pieter Abbeel